ai impact area

Communication & Media

Communicate with the global public to raise awareness, build trust, and inspire ethical thinking around AI.

Communication & Media

The information ecosystem is now programmable, and trust is the scarce resource.

AI can generate content at scale, tailor messaging to individuals, and optimize what people see in real time. That changes how truth spreads, how communities form beliefs, and how influence works; often faster than our institutions can respond.

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At the same time, the same systems that enable creativity and access can also amplify manipulation, harassment, and exclusion. When people can’t tell what’s real, who made it, or why it’s being shown to them, the foundations of public trust start to crack.

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Humanity In AI focuses on strengthening the conditions for healthy communication: transparency, safety, rights, and a public that can navigate AI-shaped media with clarity.

the problem

What We're Seeing

AI is accelerating persuasion, flooding attention, and weakening shared reality.

Across platforms, communities, and news ecosystems, the same patterns keep showing up:

  • Misinformation and deepfakes spread faster and cheaper, especially during high-stakes moments.
  • Targeted persuasion and dark-pattern nudges become more personalized and harder to detect.
  • Algorithmic bias and exclusion show up in moderation, discovery, and recommendation; often harming vulnerable groups most.
  • Privacy and civil liberties erosion grows through face/voice ID, cross-platform tracking, and surveillance-by-default.
  • Online safety threats increase harassment, abuse, and child-safety risks scale with automation.
  • Creator and IP pressure intensifies as provenance, consent, and compensation lag behind training and distribution.

The result: people feel manipulated, creators feel exploited, and institutions lose credibility, even when they’re trying to do the right thing.

Recent Coverage

Videos are selected for relevance to this Impact Area. Inclusion does not indicate endorsement of any speaker, organization, or position.

Awareness

Key Issues

Fakes that fool us

AI makes it cheap to fake a video, a voice or a news story. Fakes can sway elections, help scammers pose as family, and leave people unsure what's real.

AI companions and kids

Chatbots designed to act like friends keep people talking. Many young people confide in them, yet some have exposed children to sexual content or failed them in a crisis.

Fake sexual images

AI can turn an ordinary photo into a fake sexual image. Women, girls and children are targeted most, and once shared, these images are hard to take down.

Watched while speaking out

Face recognition and other tracking tools can identify people at protests, in crowds and online. When people fear being watched, they speak up less.

Creative work taken

AI is often trained on books, music and art without asking or paying the people who made them. Creators can end up competing with AI built from their own work.

Language gaps and bias

AI tools work best in English and for groups already well represented online. Other languages and communities can get worse answers, posts unfairly removed, or hate speech left up.
our role

What We're Doing About It

We turn ethical principles into practical playbooks for provenance, safety, and rights online.

We help organizations move from “we know this is a problem” to “here’s what we’re implementing.” In practice, that means:

  • Building public-facing explainers that translate AI risks into everyday impacts; clear, non-technical, and culturally relevant.
  • Convening cross-sector partners to create rapid-response toolkits for deepfakes, influence ops, and coordinated manipulation.
  • Advancing provenance and transparency norms (labeling, disclosure, audit trails) that work in the real world.
  • Supporting bias-aware moderation and safety frameworks that protect vulnerable communities without silencing legitimate speech.
  • Helping the marketing and advertising ecosystem adopt ethical AI guidelines and measurable safeguards.
  • Partnering with creators and rights holders on consent, licensing, and attribution pathways that are workable at scale.

Roundtables on this topic

Proving What Is Real: Labels and Watermarks for AI Content
Who Decides What Gets Seen: Free Speech, Censorship, and AI
How to Know What to Trust: AI's Impact on Communications and Media